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Vojtech Franc
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2020 – today
- 2024
- [c44]Jakub Paplhám, Vojtech Franc:
A Call to Reflect on Evaluation Practices for Age Estimation: Comparative Analysis of the State-of-the-Art and a Unified Benchmark. CVPR 2024: 1196-1205 - [c43]Vojtech Franc
, Jakub Paplhám, Daniel Prusa
SCOD: From Heuristics to Theory. ECCV (84) 2024: 424-441 - [i5]Vojtech Franc, Jakub Paplhám, Daniel Prusa:
SCOD: From Heuristics to Theory. CoRR abs/2403.16916 (2024) - 2023
- [j12]Vojtech Franc, Daniel Prusa, Václav Vorácek:
Optimal Strategies for Reject Option Classifiers. J. Mach. Learn. Res. 24: 11:1-11:49 (2023) - [c42]Jakub Paplhám, Vojtech Franc, Daniela Lzicarová:
Detection of Microscopic Fungi and Yeast in Clinical Samples Using Fluorescence Microscopy and Deep Learning. VISIGRAPP (4: VISAPP) 2023: 777-784 - [i4]Jakub Paplhám, Vojtech Franc:
Unraveling the Age Estimation Puzzle: Comparative Analysis of Deep Learning Approaches for Facial Age Estimation. CoRR abs/2307.04570 (2023) - [i3]Vojtech Franc, Daniel Prusa, Jakub Paplhám:
Reject option models comprising out-of-distribution detection. CoRR abs/2307.05199 (2023) - 2022
- [c41]Vojtech Franc
Consistent and Tractable Algorithm for Markov Network Learning. ECML/PKDD (4) 2022: 435-451 - 2021
- [c40]Vojtech Franc, Andrii Yermakov
Learning Maximum Margin Markov Networks from examples with missing labels. ACML 2021: 1691-1706 - [c39]Vojtech Franc, Andrii Yermakov
Dominant subject recognition by Bayesian learning. FG 2021: 1-5 - [c38]Adéla Subrtová, Jan Cech, Vojtech Franc:
Hairstyle Transfer between Face Images. FG 2021: 1-8 - [i2]Vojtech Franc, Daniel Prusa, Václav Vorácek:
Optimal strategies for reject option classifiers. CoRR abs/2101.12523 (2021) - 2020
- [c37]Jan Brabec
On Model Evaluation Under Non-constant Class Imbalance. ICCS (4) 2020: 74-87 - [c36]Andrii Yermakov
CNN Based Predictor of Face Image Quality. ICPR Workshops (6) 2020: 679-693 - [i1]Jan Brabec, Tomás Komárek, Vojtech Franc, Lukás Machlica:
On Model Evaluation under Non-constant Class Imbalance. CoRR abs/2001.05571 (2020)
2010 – 2019
- 2019
- [c35]Vojtech Franc, Daniel Prusa:
On discriminative learning of prediction uncertainty. ICML 2019: 1963-1971 - 2018
- [j11]Vojtech Franc
Learning CNNs from weakly annotated facial images. Image Vis. Comput. 77: 10-20 (2018) - [j10]Vojtech Franc
Learning data discretization via convex optimization. Mach. Learn. 107(2): 333-355 (2018) - [c34]Radim Spetlík, Vojtech Franc, Jan Cech, Jiri Matas:
Visual Heart Rate Estimation with Convolutional Neural Network. BMVC 2018: 84 - [c33]Vojtech Vasek, Vojtech Franc, Martin Urban:
License Plate Recognition and Super-resolution from Low-Resolution Videos by Convolutional Neural Networks. BMVC 2018: 132 - 2017
- [j9]Hakan Cevikalp
Large-scale robust transductive support vector machines. Neurocomputing 235: 199-209 (2017) - [c32]Vojtech Franc
Learning CNNs for Face Recognition from Weakly Annotated Images. FG 2017: 933-940 - [c31]Radim Spetlík
Visual Language Identification from Facial Landmarks. SCIA (2) 2017: 389-400 - 2016
- [j8]Michal Uricár
Multi-view facial landmark detector learned by the Structured Output SVM. Image Vis. Comput. 47: 45-59 (2016) - [j7]Jan Cech, Vojtech Franc
Multi-view facial landmark detection by using a 3D shape model. Image Vis. Comput. 47: 60-70 (2016) - [j6]Kostiantyn Antoniuk
V-shaped interval insensitive loss for ordinal classification. Mach. Learn. 103(2): 261-283 (2016) - [c30]Karel Bartos, Michal Sofka, Vojtech Franc
Learning Invariant Representation for Malicious Network Traffic Detection. ECAI 2016: 1132-1139 - [c29]Karel Bartos, Michal Sofka, Vojtech Franc:
Optimized Invariant Representation of Network Traffic for Detecting Unseen Malware Variants. USENIX Security Symposium 2016: 807-822 - 2015
- [c28]Kostiantyn Antoniuk, Vojtech Franc, Václav Hlavác:
Consistency of structured output learning with missing labels. ACML 2015: 81-95 - [c27]Michal Uricár
Real-time multi-view facial landmark detector learned by the structured output SVM. FG 2015: 1-8 - [c26]Michal Uricár
Facial Landmark Tracking by Tree-Based Deformable Part Model Based Detector. ICCV Workshops 2015: 963-970 - [c25]Vojtech Franc
Learning Detector of Malicious Network Traffic from Weak Labels. ECML/PKDD (3) 2015: 85-99 - 2014
- [c24]Kostiantyn Antoniuk, Vojtech Franc, Václav Hlavác:
Interval Insensitive Loss for Ordinal Classification. ACML 2014 - [c23]Jan Cech, Vojtech Franc
A 3D Approach to Facial Landmarks: Detection, Refinement, and Tracking. ICPR 2014: 2173-2178 - [c22]Vojtech Franc:
FASOLE: Fast Algorithm for Structured Output LEarning. ECML/PKDD (1) 2014: 402-417 - 2013
- [j5]Xavier Alameda-Pineda, Jordi Sanchez-Riera, Johannes Wienke
RAVEL: an annotated corpus for training robots with audiovisual abilities. J. Multimodal User Interfaces 7(1-2): 79-91 (2013) - [c21]Hakan Cevikalp, Bill Triggs, Vojtech Franc:
Face and landmark detection by using cascade of classifiers. FG 2013: 1-7 - [c20]Kostiantyn Antoniuk, Vojtech Franc, Václav Hlavác
MORD: Multi-class Classifier for Ordinal Regression. ECML/PKDD (3) 2013: 96-111 - [c19]Michal Uricár
Bundle Methods for Structured Output Learning - Back to the Roots. SCIA 2013: 162-171 - 2012
- [c18]Kostiantyn Antoniuk, Vojtech Franc, Václav Hlavác:
Learning Markov Networks by Analytic Center Cutting Plane Method. ICPR 2012: 2250-2253 - [c17]Michal Uricár
Facial Landmarks Detector Learned by the Structured Output SVM. VISIGRAPP (Selected Papers) 2012: 383-398 - [c16]Michal Uricár, Vojtech Franc, Václav Hlavác:
Detector of Facial Landmarks Learned by the Structured Output SVM . VISAPP (1) 2012: 547-556 - 2011
- [c15]Vojtech Franc, Alexander Zien, Bernhard Schölkopf:
Support Vector Machines as Probabilistic Models. ICML 2011: 665-672 - 2010
- [j4]Sören Sonnenburg, Gunnar Rätsch, Sebastian Henschel, Christian Widmer, Jonas Behr, Alexander Zien, Fabio De Bona, Alexander Binder, Christian Gehl, Vojtech Franc:
The SHOGUN Machine Learning Toolbox. J. Mach. Learn. Res. 11: 1799-1802 (2010) - [c14]Sören Sonnenburg, Vojtech Franc:
COFFIN: A Computational Framework for Linear SVMs. ICML 2010: 999-1006
2000 – 2009
- 2009
- [j3]Vojtech Franc, Sören Sonnenburg:
Optimized Cutting Plane Algorithm for Large-Scale Risk Minimization. J. Mach. Learn. Res. 10: 2157-2192 (2009) - 2008
- [j2]Vojtech Franc, Bogdan Savchynskyy:
Discriminative Learning of Max-Sum Classifiers. J. Mach. Learn. Res. 9: 67-104 (2008) - [c13]Vojtech Franc
Optimized cutting plane algorithm for support vector machines. ICML 2008: 320-327 - [c12]Vojtech Franc, Pavel Laskov, Klaus-Robert Müller
Stopping conditions for exact computation of leave-one-out error in support vector machines. ICML 2008: 328-335 - [c11]Jan Rathouský, Martin Urban, Vojtech Franc:
Recognition of Text with Known Geometric, Grammatical Structure. VISAPP (2) 2008: 194-199 - 2007
- [c10]Petr Posík, Vojtech Franc
Estimation of fitness landscape contours in EAs. GECCO 2007: 562-569 - 2006
- [c9]Vojtech Franc
Greedy Kernel Principal Component Analysis. Cognitive Vision Systems 2006: 87-105 - 2005
- [c8]Vojtech Franc
Sequential Coordinate-Wise Algorithm for the Non-negative Least Squares Problem. CAIP 2005: 407-414 - [c7]Vojtech Franc
Simple Solvers for Large Quadratic Programming Tasks. DAGM-Symposium 2005: 75-84 - [c6]Vojtech Franc
License Plate Character Segmentation Using Hidden Markov Chains. DAGM-Symposium 2005: 385-392 - 2003
- [j1]Vojtech Franc
An iterative algorithm learning the maximal margin classifier. Pattern Recognit. 36(9): 1985-1996 (2003) - [c5]Dick de Ridder, Vojtech Franc:
Robust subspace mixture models using t-distributions. BMVC 2003: 1-10 - [c4]Vojtech Franc
Greedy Algorithm for a Training Set Reduction in the Kernel Methods. CAIP 2003: 426-433 - [c3]Karel Hanton, Vladimír Smutný, Vojtech Franc
Alignment of Sewerage Inspection Videos for Their Easier Indexing. ICVS 2003: 141-150 - 2002
- [c2]Vojtech Franc, Václav Hlavác
Multi-Class Support Vector Machine. ICPR (2) 2002: 236-239 - 2001
- [c1]Vojtech Franc, Václav Hlavác
A Contribution to the Schlesinger's Algorithm Separating Mixtures of Gaussians. CAIP 2001: 169-176
Coauthor Index
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